Beyond the Hype: Pranav Pawar On How to Build Reliable AI in Production | HackerNoon

This piece explores how engineer Pranav Pawar builds AI systems that survive real-world complexity. From deal-sourcing at Bain to healthcare automation and now orchestrating multi-agent marketing systems at Kalos, Pawar focuses on reliability, verification, and long-term scalability. His work shows how AI becomes useful only when built to deliver consistently in production.